Machine Learning Summer Schools

The machine learning summer school series was started in 2002 with the
motivation to promulgate modern methods of statistical machine learning and
inference. It was motivated by the observation that while many students are
keen to learn about machine learning, and an increasing number of researchers
want to apply machine learning methods to their research problems, only few
machine learning courses are taught at universities. Machine learning summer
schools present topics which are at the core of modern Machine Learning, from
fundamentals to state-of-the-art practice. The speakers are leading experts in
their field who talk with enthusiasm about their subjects.
This page contains links to past and current schools, as well as the tentative
plans for the next years. Note that the videos of many past MLSS courses are
available at Videolectures.